An estimation method of fractal dimension of self-avoiding roughened interfaces
Year: 2017
Type: article
Abstract: Two kinds of methods (graphical and statistical) commonly used for the estimation of fractal dimension of self-avoiding interfaces were investigated. It was determined that the current methods of both kinds have significant errors for this type of profiles. In the present work a novel efficient method for the estimation of fractal dimension of self-avoiding curves embedded in the space $\mathbb{R}^2$ based on the Box-count and Hall-Wood estimators is developed. Some physical implications are discussed.
Source: Revista Mexicana de Física
Authors: L. Damian Adame, A. Kryvko, D. Samayoa Ochoa, A. Rodríguez Castellanos
Institution: Instituto Politécnico Nacional
Language: English
Subfield: Condensed Matter Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W2680908415